High-Frequency Geoacoustic Inversion of Ambient Noise Data Using Short Arrays

2004 ◽  
Author(s):  
Martin Siderius
Keyword(s):  
High Frequency ◽  
Ambient Noise ◽  
Geoacoustic Inversion ◽  
Noise Data

Geoacoustic inversion from ambient noise data using a trans-dimensional Bayesian approach

2011 ◽  
Vol 130 (4) ◽  
pp. 2454-2454
Author(s):  
Jorge E. Quijano ◽  
Stan E. Dosso ◽  
Jan Dettmer ◽  
Martin Siderius ◽  
Lisa M. Zurk
Keyword(s):  
Bayesian Approach ◽  
Ambient Noise ◽  
Geoacoustic Inversion ◽  
Noise Data

Sequential Geoacoustic Filtering and Utilizing Ambient Noise for Geoacoustic Inversion

2013 ◽  
Author(s):  
Peter Gerstoft ◽  
Caglar Yardim ◽  
Ravi Menon ◽  
Bill Hodgkiss
Keyword(s):  
Ambient Noise ◽  
Geoacoustic Inversion

scholarly journals The Seismic Potential in the Seismic Gap Between the Wenchuan and Lushan Earthquakes Revealed by the Joint Inversion of Receiver Functions and Ambient Noise Data

Tectonics ◽  
2018 ◽  
Vol 37 (11) ◽  
pp. 4226-4238 ◽  
Author(s):  
Zhiqiang Liu ◽  
Chuntao Liang ◽  
Qian Hua ◽  
Ying Li ◽  
Yihai Yang ◽  
...  
Keyword(s):  
Ambient Noise ◽  
Joint Inversion ◽  
Receiver Functions ◽  
Seismic Gap ◽  
Seismic Potential ◽  
Noise Data

Extracting Long-Period Surface Waves and Free Oscillations Using Ambient Noise Recorded by Global Distributed Superconducting Gravimeters

2020 ◽  
Vol 91 (4) ◽  
pp. 2234-2246
Author(s):  
Hang Li ◽  
Jianqiao Xu ◽  
Xiaodong Chen ◽  
Heping Sun ◽  
Miaomiao Zhang ◽  
...  
Keyword(s):  
Surface Waves ◽  
Group Velocity ◽  
Ambient Noise ◽  
Velocity Dispersion ◽  
Group Velocity Dispersion ◽  
Dispersion Curves ◽  
Free Oscillations ◽  
Long Period ◽  
Superconducting Gravimeters ◽  
Noise Data

Abstract Inversion of internal structure of the Earth using surface waves and free oscillations is a hot topic in seismological research nowadays. With the ambient noise data on seismically quiet days sourced from the gravity tidal observations of seven global distributed superconducting gravimeters (SGs) and the seismic observations for validation from three collocated STS-1 seismometers, long-period surface waves and background free oscillations are successfully extracted by the phase autocorrelation (PAC) method, respectively. Group-velocity dispersion curves at the frequency band of 2–7.5 mHz are extracted and compared with the theoretical values calculated with the preliminary reference Earth model. The comparison shows that the best observed values differ about ±2% from the corresponding theoretical results, and the extracted group velocities of the best SG are consistent with the result of the collocated STS-1 seismometer. The results indicate that reliable group-velocity dispersion curves can be measured with the ambient noise data from SGs. Furthermore, the fundamental frequency spherical free oscillations of 2–7 mHz are also clearly extracted using the same ambient noise data. The results in this study show that the SG, besides the seismometer, is proved to be another kind of instrument that can be used to observe long-period surface waves and free oscillations on seismically quiet days with a high degree of precision using the PAC method. It is worth mentioning that the PAC method is first and successfully introduced to analyze SG observations in our study.

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